International Journal of Bifurcation and Chaos · 2007 · 343 citations · 23 references
ComputingElectrical EngineeringComputer NetworksFault ToleranceVulnerability AnalysisNetwork ReliabilityNetwork TheoryNetwork TopologyPower Grid AnalysisScale-free NetworksSmall-world NetworksDegree DistributionNode Degree DistributionPower Grid DesignPower Grid ResiliencePower Grid SecurityScale-free Network AnalysisScale-free TopologyVulnerability
Power grids typically exhibit exponential degree distributions, lack small‑world topology, yet respond to node loss similarly to scale‑free networks. The study investigates the topological structure and static tolerance to errors and attacks of the 2003 UCTE power grid. It analyzes thirty‑three networks of the UCTE grid to assess these properties. Node removal behavior scales logarithmically with grid size, indicating that while larger size increases fragility, growth can reduce it, so future planning must account for this size‑vulnerability relationship to improve grid design and reliability.
We present an analysis of the topological structure and static tolerance to errors and attacks of the September 2003 actualization of the Union for the Coordination of Transport of Electricity (UCTE) power grid, involving thirty-three different networks. Though every power grid studied has exponential degree distribution and most of them lack typical small-world topology, they display patterns of reaction to node loss similar to those observed in scale-free networks. We have found that the node removal behavior can be logarithmically related to the power grid size. This logarithmic behavior would suggest that, though size favors fragility, growth can reduce it. We conclude that, with the ever-growing demand for power and reliability, actual planning strategies to increase transmission systems would have to take into account this relative increase in vulnerability with size, in order to facilitate and improve the power grid design and functioning.
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